Database Management

GEC gathers and filters this data by conducting personal telephone interviews with target company personnel, detailed direct mail and email surveys, plus careful review of selected global business publications and intelligent Web searching applications.

Data management is the cornerstone of effective direct marketing. Without it, you really can't communicate one-on-one with your customers and prospects.

As an integral part of our broader services, we provide our clients with complete data management solutions, including:

• High volume data entry
• Forms processing - Optical character recognition
• Merge file & Realign data fields
• Change Data structure
• Data cleaning
• Merge/purge
• De-duplication
• Mail merge
• Mailing campaign management
• Customer Loyalty Program Management (CRM) – through our Channel Partner

We are progressively expanding our Data Management capabilities and working closely with our clients and database owners advising and guiding them towards importance of Data Management and cleansing of their in-house databases.

The shape and condition of databases available for Direct Marketing activity in India is of very poor quality in terms of data structure. We are endeavoring to work with leading companies to help them realize the potential of their database providing them with our expertise in Quality Data Management leading to Quality Results.

Listed below are some of the Data Management / IT Solutions we provide :

• Data Management / IT Solutions
• We offer Onsite and Offsite Data Analysis; facilitate further usage of data for marketing campaigns and strategies.
• We specialise in building effective database systems which involves:
  • Data Migration : ETL (Extract Transform Load) techniques are used to merge, purge, cleanse, match and de-dupe the data. Experienced in handling old and legacy systems / raw data and resolving redundancies and inconsistencies.
  • Data Consolidation: Proven algorithms are used to deal with complex, poor quality, diverse, and large volumes of data.
  • Data Profiling, Segmentation, Enrichment : Custom-built tools are used to gather information from within the universe of data and also from our highly profiled, diversified and huge data bank.
  • Data Warehousing : Expertise in implementing data warehousing solutions for large to medium volumes of data using latest RDBMS and OLAP tools.
  • Data Synchronization : Developed and implemented secure, high performance synchronization applications.
    • OLAP tools, data analysis and data mining algorithms and techniques are used to further analyze and segment customers, in terms of buying patterns and behaviors, preferences and profitability.
    • Well-defined and well-designed data mining and statistical analysis models are used to develop promotional campaigns or assess the effectiveness of previous campaigns.
    • Information for data analysis may be on the basis of: – Contact information, Group and Household information, Promotion, Product purchase and usage history, ransaction roll-up, Customer Service history, Survey/response data, Demographic/Psychographic data etc.
    • The database system enables building and designing lists for which different treatment strategies can be developed; plan/budget/schedule campaigns and monitor responses.